code: def test_transformer():
      from mxnet.gluon.data.vision import transforms
  
      transform = transforms.Compose(
          [
              transforms.Resize(300),
              transforms.Resize(300, keep_ratio=True),
              transforms.CenterCrop(256),
              transforms.RandomCrop(256, pad=16),
              transforms.RandomResizedCrop(224),
              transforms.RandomFlipLeftRight(),
              transforms.RandomColorJitter(0.1, 0.1, 0.1, 0.1),
              transforms.RandomBrightness(0.1),
              transforms.RandomContrast(0.1),
              transforms.RandomSaturation(0.1),
              transforms.RandomHue(0.1),
              transforms.RandomLighting(0.1),
              transforms.ToTensor(),
              transforms.RandomRotation([-10.0, 10.0]),
              transforms.Normalize([0, 0, 0], [1, 1, 1]),
          ]
      )
  
      transform(mx.np.ones((245, 480, 3), dtype="uint8")).wait_to_read()
  
imports: import os
  from collections import namedtuple
  from uuid import uuid4
  import numpy
  import mxnet
  from mxnet import gluon, autograd, np, npx
  from mxnet.test_utils import use_np, assert_almost_equal, check_gluon_hybridize_consistency, same, check_symbolic_backward
  from common import assertRaises, xfail_when_nonstandard_decimal_separator
  import random
  from mxnet.base import MXNetError
  from mxnet.gluon.data.vision import transforms
  from mxnet import image
  import pytest
label_desc: Use image node_id 7 for calling a global function with example usage: test_transformer() without return types